A neural network learns how a dynamics model's parameters should evolve over time, letting model predictive control anticipate unmodeled effects and reduce long-horizon prediction errors.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Beyond Constant Parameters: Hyper Prediction Models and HyperMPC
A neural network learns how a dynamics model's parameters should evolve over time, letting model predictive control anticipate unmodeled effects and reduce long-horizon prediction errors.